The evaluation of TF-Test kit for diagnosis of gastrointestinal parasite infections in sheep

Autor: Giuliano Lumina, Jancarlo Ferreira Gomes, Patrizia Ana Bricarello, Alessandro Francisco Talamini do Amarante
Přispěvatelé: Universidade Estadual Paulista (Unesp), Centro de Pesquisa em Biotecnologia Orion
Jazyk: angličtina
Rok vydání: 2006
Předmět:
Zdroj: Brazilian Journal of Veterinary Research and Animal Science, Vol 43, Iss 4 (2006)
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
ISSN: 1678-4456
1413-9596
Popis: Submitted by Vitor Silverio Rodrigues (vitorsrodrigues@reitoria.unesp.br) on 2014-05-27T11:22:19Z No. of bitstreams: 0Bitstream added on 2014-05-27T14:45:49Z : No. of bitstreams: 1 2-s2.0-78149272384.pdf: 180983 bytes, checksum: 83b85af1c3283f4f850ab2731ac55372 (MD5) Made available in DSpace on 2014-05-27T11:22:19Z (GMT). No. of bitstreams: 0 Previous issue date: 2006-12-01 This study was performed to standardize parasite egg counting in feces of sheep by TF-Test, in addition to compare this test to the Gordon & Whitlock technique (G&W). Twenty-four lambs were artificially infected with Haemonchus contortus throughout 12 weeks. At the end of this time, faecal samples were taken and animals were slaughtered for worm identification and counting. G&W and TF-Test methods were carried out on each fecal sample. Both tests showed Haemonchus eggs in 95.8% of the samples (P>0.05). The correlation coefficients (r) between fecal egg counts (FEC) using G&W × Total Worm Count (TWC) were r=0.52 (not transformed data) and r=0.85 (transformed data); between FEC by TF-Test × TWC were r=0.51 (not transformed data) and r=0.87 (transformed data). Other 100 fecal samples were taken from naturally infected sheep. In these animals, the G&W and TF-Test methods showed 85% and 86% of fecal samples positive for Strongylidea eggs, respectively (P>0.05). Also in those animals, Eimeria oocysts were found in 33% of fecal samples by TF-Test, whereas in the G&W only 12% were positive (P
Databáze: OpenAIRE